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Active Spaghetti: Collective Organization in Cyanobacteria

Mixon K. Faluweki, Jan Cammann, Marco G. Mazza, and Lucas Goehring
Phys. Rev. Lett. 131, 158303 – Published 13 October 2023
Physics logo See synopsis: Collective Organization of Spaghetti-like Bacteria
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Abstract

Filamentous cyanobacteria can show fascinating examples of nonequilibrium self-organization, which, however, are not well understood from a physical perspective. We investigate the motility and collective organization of colonies of these simple multicellular lifeforms. As their area density increases, linear chains of cells gliding on a substrate show a transition from an isotropic distribution to bundles of filaments arranged in a reticulate pattern. Based on our experimental observations of individual behavior and pairwise interactions, we introduce a nonreciprocal model accounting for the filaments’ large aspect ratio, fluctuations in curvature, motility, and nematic interactions. This minimal model of active filaments recapitulates the observations, and rationalizes the appearance of a characteristic length scale in the system, based on the Péclet number of the cyanobacteria filaments.

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  • Received 27 January 2023
  • Accepted 30 August 2023

DOI:https://doi.org/10.1103/PhysRevLett.131.158303

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Open access publication funded by the Max Planck Society.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Polymers & Soft MatterStatistical Physics & ThermodynamicsPhysics of Living Systems

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Collective Organization of Spaghetti-like Bacteria

Published 13 October 2023

Lab experiments and theoretical models elucidate how chains of light-harvesting bacteria assemble into various density-dependent structures.

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Authors & Affiliations

Mixon K. Faluweki1,2, Jan Cammann3, Marco G. Mazza3,4,*, and Lucas Goehring1,†

  • 1School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, United Kingdom
  • 2Malawi Institute of Technology, Malawi University of Science and Technology, S150 Road, Thyolo 310105, Malawi
  • 3Interdisciplinary Centre for Mathematical Modelling and Department of Mathematical Sciences, Loughborough University, Loughborough, Leicestershire LE11 3TU, United Kingdom
  • 4Max Planck Institute for Dynamics and Self-Organization (MPIDS), Am Faßberg 17, 37077 Göttingen, Germany

  • *m.g.mazza@lboro.ac.uk
  • lucas.goehring@ntu.ac.uk

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Vol. 131, Iss. 15 — 13 October 2023

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